Resources


Database Credentialed Access

MIMIC-IV-Note: Deidentified free-text clinical notes

Alistair Johnson, Tom Pollard, Steven Horng, Leo Anthony Celi, Roger Mark

Deidentified free-text clinical notes for patients in the MIMIC-IV Clinical Database.

mimic deidentification critical care electronic health record clinical notes natural language processing

Published: Jan. 6, 2023. Version: 2.2

Database Open Access

MIMIC Database

The MIMIC Database includes data recorded from over 90 ICU patients. The data in each case include signals and periodic measurements obtained from a bedside monitor as well as clinical data obtained from the patient's medical record. The recordi…

health record mimic ehr icu critical care

Published: March 15, 2000. Version: 1.0.0

Visualize waveforms

Database Open Access

MIMIC-IV demo data in the OMOP Common Data Model

Michael Kallfelz, Anna Tsvetkova, Tom Pollard, Manlik Kwong, Gigi Lipori, Vojtech Huser, Jeffrey Osborn, Sicheng Hao, Andrew Williams

Preliminary work to transform a MIMIC-IV demo dataset to the OMOP Common Data Model

omop common data model

Published: June 21, 2021. Version: 0.9

Database Credentialed Access

Phenotype Annotations for Patient Notes in the MIMIC-III Database

Edward Moseley, Leo Anthony Celi, Joy Wu, Franck Dernoncourt

Clinical notes, annotated by at least two expert annotators for over ten patient phenotypes, including advanced cancer, substance abuse, and treatment non-adherence.

patient classification natural language processing

Published: March 5, 2020. Version: 1.20.03

Database Open Access

I-CARE: International Cardiac Arrest REsearch consortium Database

Edilberto Amorim, Wei-Long Zheng, Jong Woo Lee, Susan Herman, Mohammad Ghassemi, Adithya Sivaraju, Nicolas Gaspard, Jeannette Hofmeijer, Michel J A M van Putten, Matthew Reyna, Gari Clifford, Brandon Westover

The clinical and EEG data for this dataset originates from seven academic hospitals in the U.S. and Europe led by investigators part of the International Cardiac Arrest REsearch consortium (I-CARE).

Published: Feb. 21, 2023. Version: 1.0

Visualize waveforms

Database Credentialed Access

Critical care database comprising patients with infection at Zigong Fourth People's Hospital

Ping Xu, Lin Chen, Zhongheng Zhang

Routinely collected data from critical care units at Zigong Fourth People’s Hospital, Sichuan, China for patients admitted between January 2019 and December 2020 Missing information on temperature are updated in the new version.

Published: June 30, 2022. Version: 1.1

Challenge Credentialed Access

ShAReCLEF eHealth 2013: Natural Language Processing and Information Retrieval for Clinical Care

Danielle Mowery

2013 ShARe/CLEF eHealth Evaluation Lab: Natural Language Processing and Information Retrieval for Clinical Care (Tasks 1 and 2).

natural language processing

Published: Feb. 15, 2013. Version: 1.0

Database Credentialed Access

SCRIPT CarpeDiem Dataset: demographics, outcomes, and per-day clinical parameters for critically ill patients with suspected pneumonia

Nikolay Markov, Catherine A Gao, Thomas Stoeger, Anna Pawlowski, Mengjia Kang, Prasanth Nannapaneni, Rogan Grant, Luke Rasmussen, Daniel Schneider, Justin Starren, Richard Wunderink, GR Scott Budinger, Alexander Misharin, Benjamin Singer, NU SCRIPT Study Investigators

SCRIPT seeks to delineate the host/pathogen interactions during pneumonia using multiomic analysis of bronchoalveolar lavage fluid joined with clinical data and physician adjudication.

Published: March 13, 2023. Version: 1.1.0

Database Open Access

Pressure, flow, and dynamic thoraco-abdominal circumferences data for adults breathing under CPAP therapy

Ella Frances Sophia Guy, Jennifer Knopp, Theodore Lerios, James Geoffrey Chase

Dataset of pressure, flow, and dynamic abdominal and chest circumference for healthy people breathing with CPAP. Data was collected with PEEP settings of 0 (ZEEP), 4, and 8cmH2O at normal/resting, panting/short and deep/long breath patterns/rates.

Published: Jan. 25, 2023. Version: 1.0.0

Database Credentialed Access

Tasks 1 and 3 from Progress Note Understanding Suite of Tasks: SOAP Note Tagging and Problem List Summarization

Yanjun Gao, John Caskey, Timothy Miller, Brihat Sharma, Matthew Churpek, Dmitriy Dligach, Majid Afshar

We introduce a hierarchical annotation suite of tasks addressing clinical text understanding, reasoning and abstraction over evidence, and diagnosis summarization. One task is section tagging major section and the other task is diagnosis generation.

Published: Sept. 30, 2022. Version: 1.0.0